Trim
Trim whitespace from the beginning and/or end of a string.
Classes:
Name | Description |
---|---|
- `Trim` |
Trim whitespace from the beginning and/or end of a string. |
- `LTrim` |
Trim whitespace from the beginning of a string. |
- `RTrim` |
Trim whitespace from the end of a string. |
See class docstrings for more information. |
|
koheesio.spark.transformations.strings.trim.trim_type
module-attribute
#
trim_type = Literal['left', 'right', 'left-right']
koheesio.spark.transformations.strings.trim.LTrim #
koheesio.spark.transformations.strings.trim.RTrim #
koheesio.spark.transformations.strings.trim.Trim #
Trim whitespace from the beginning and/or end of a string.
This is a wrapper around PySpark ltrim() and rtrim() functions
The direction
parameter can be changed to apply either a left or a right trim. Defaults to left AND right trim.
Note: If the type of the column is not string, Trim will not be run. A Warning will be thrown indicating this
Parameters:
Name | Type | Description | Default |
---|---|---|---|
columns
|
ListOfColumns
|
The column (or list of columns) to trim. Alias: column If no columns are provided, all string columns will be trimmed. |
required |
target_column
|
ListOfColumns
|
The column to store the result in. If not provided, the result will be stored in the source column. Alias: target_suffix - if multiple columns are given as source, this will be used as a suffix. |
required |
direction
|
trim_type
|
On which side to remove the spaces. Either "left", "right" or "left-right". Defaults to "left-right" |
"left-right"
|
Examples:
input_df: | column | |-----------| | " hello " |
Trim whitespace from the beginning of a string#
output_df = Trim(column="column", target_column="trimmed_column", direction="left").transform(input_df)
output_df: | column | trimmed_column | |-----------|----------------| | " hello " | "hello " |
Trim whitespace from both sides of a string#
output_df = Trim(
column="column",
target_column="trimmed_column",
direction="left-right", # default value
).transform(input_df)
output_df: | column | trimmed_column | |-----------|----------------| | " hello " | "hello" |
Trim whitespace from the end of a string#
output_df = Trim(column="column", target_column="trimmed_column", direction="right").transform(input_df)
output_df: | column | trimmed_column | |-----------|----------------| | " hello " | " hello" |
columns
class-attribute
instance-attribute
#
columns: ListOfColumns = Field(
default="*",
alias="column",
description="The column (or list of columns) to trim. Alias: column. If no columns are provided, all stringcolumns will be trimmed.",
)
direction
class-attribute
instance-attribute
#
direction: trim_type = Field(
default="left-right",
description="On which side to remove the spaces. Either 'left', 'right' or 'left-right'",
)